vector-db-audit

vector-db-audit is a skill for Claude Code from richfrem/agent-plugins-skills. It costs 26 tokens per session (444 once invoked), scanned A, original, MIT.

An audit tool that compares the files listed in a project manifest with the content currently stored in a ChromaDB search index.

In plain words
What is it for?
It is for measuring indexed documentation coverage, listing missing files, and preparing targeted ingestion work.
Why use it?
It reveals which files are missing from the index instead of leaving coverage gaps undiscovered.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the agent-memory plugin — 13 skills, 9 agents shipped together

Good fit It is for measuring indexed documentation coverage, listing missing files, and preparing targeted ingestion work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richfrem/agent-plugins-skills/vector-db-audit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add richfrem/agent-plugins-skills --skill vector-db-audit
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

Made for: Claude Code.

Or install agent-memory, the plugin that ships this one along with the rest of its 13 skills, 9 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for vector-db-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/vector-db-audit/github.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/vector-db-audit)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/vector-db-audit"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/vector-db-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for vector-db-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/vector-db-audit"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/vector-db-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 444 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00444
Opus 5.5 $0.00010 $0.00178
Sonnet 5.5 $0.00005 $0.00089
Haiku 4.5 $0.00003 $0.00044

Measured 14d ago against content hash b6cb660dd98d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vector-db-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/audit_vector.py, scripts/operations.py, scripts/vector_config.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/agent-memory/skills/vector-db-audit/SKILL.md · 55 lines

What it actually says

Vector DB Audit (vector-db-audit)

Systematically audit the Vector Database to identify indexing coverage gaps between the project manifest and document chunks in ChromaDB collections.

Contents

Critical Constraints

  1. Read-Only Inspection: Audit checks evaluate collections and filesystem manifests without writing or deleting index records.
  2. Profile Specification: Mandatory --profile flag to ensure the target collection and manifest are matched accurately.
  3. No Direct SQLite Access: Must execute via scripts/audit_vector.py; never query SQLite backing tables directly.

Capabilities

  • Coverage Analysis: Calculates the percentage of project documentation vectorized in ChromaDB.
  • Gap Identification: Detects files included in the manifest but missing from the collection.
  • Batch Exporting: Generates CSV lists of missing files for targeted ingestion.
  • Dynamic Configuration: Automatically loads collection settings from selected profile.

Quick start

Execute a coverage audit against a specific profile:

python3 scripts/audit_vector.py --profile wiki --report vector_audit.txt --csv missing_vector.csv

Workflow

  1. Select Profile: Identify target collection profile (e.g. wiki, codebase).
  2. Execute Audit: Run audit_vector.py to compare filesystem manifest against the ChromaDB collection.
  3. Review Gaps: Inspect vector_audit.txt and missing_vector.csv for missing documents.
  4. Coordinate Ingestion: Dispatch missing file paths to vector-db-ingest for vectorization.

Verification

Validate report output generation and vector collection connectivity:

python3 scripts/audit_vector.py --profile wiki --check-only
Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 14d ago Changed · +21 lines b6cb660dd98d
  2. 1mo ago First seen · 34 lines · 26 tokens per session scan A 1d3407067c30

Subscribe to this mod's changes

vector-db-audit is a skill published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 444 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.